code: def predict(self, X, top_k_list):
      X_ = numpy.asarray([self.embeddings[x] for x in X])
      Y = self.clf.predict(X_, top_k_list=top_k_list)
      return Y
  
file_path: OpenNE/src/openne/classify.py
imports: from __future__ import print_function
  import numpy
  from sklearn.multiclass import OneVsRestClassifier
  from sklearn.metrics import f1_score
  from sklearn.preprocessing import MultiLabelBinarizer
  from time import time
label_desc: Use image node_id 4 for calling the Classifier obj's underlying member method code with example usage: obj.predict(X, top_k_list) and returns: Y